The program package is released under the MIT License.
The SimPrily manuscript has been submitted.
If you make use of SimPrily in your research, we would appreciate the following citation:
Gladstein, A.L., Quinto-Cortés, C.D., Pistorius, J.L., Christy, D., Gantner, L., Woerner, A.E., Joyce, B.L.
(2018).
SimPrily: A Python framework to simplify high-throughput genomic simulations.
SoftwareX, 7:335-340. https://doi.org/10.1016/j.softx.2018.09.003.
If you make use of SimPrily in your research, we encourage you to cite the MaCS paper:
Chen, G., Marjoram, P., & Wall, J. (2009). Fast and flexible simulation of DNA sequence data. Genome Research, 136–142.
If you use the GERMLINE option in your research, we encourage to you to cite the GERMLINE papers:
Gusev A, Lowe JK, Stoffel M, Daly MJ, Altshuler D, Breslow JL, Friedman JM, Pe'er I (2008). Whole population, genomewide mapping of hidden relatedness. Genome Research.
If you use the pseudo array option in your research, we encourage you to cite the methods manuscript:
Quinto-Cortés, C.D., Woerner, A.E., Watkins, J.C., Hammer, M.F.
(2018).
Modeling SNP array ascertainment with Approximate Bayesian Computation for demographic inference.
Scientific Reports, 8(1), 10209. https://doi.org/10.1038/s41598-018-28539-y.
If you use the Pegasus workflow in your research, please consult the Pegasus website :
If you use the Open Science Grid in your research, please consult the OSG website:
The program package is maintained and developed by:
SimPrily had its beginnings based off of work by:
Other contributors: